Support creation of tf.data.Dataset (data generator) and augmentation for image.

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/tensorflow

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  • GitHub repo tfaug

    tensorflow easy image augmentation package

    github link

  • GitHub repo imgaug

    Image augmentation for machine learning experiments.

    Do you acknowledge that there is ImageDataGenerator and ImgAug?

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    OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.

  • GitHub repo tensorflow

    An Open Source Machine Learning Framework for Everyone

    If you would like to avoid deadlocks above, you can run multiprocessing and tensorflow in a separate process as discussed here. However, there is overhead between inter-process communication. With large data sizes, it's communication overhead can be a large learning bottleneck.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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